Triple

T12451668
Position Surface form Disambiguated ID Type / Status
Subject ULVR E297546 entity
Predicate associatedWithBrandPortfolio P99659 FINISHED
Object Pepsodent
Pepsodent is a long-established toothpaste brand known for its focus on cavity protection and oral hygiene, marketed globally by major consumer goods companies.
 E985197 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pepsodent | Statement: [ULVR, associatedWithBrandPortfolio, Pepsodent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pepsodent
Context triple: [ULVR, associatedWithBrandPortfolio, Pepsodent]
  • A. Colgate
    Colgate is a small village in West Sussex, England, known for its rural character and proximity to Horsham.
  • B. Listerine
    Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
  • C. Colgate Thirteen
    Colgate Thirteen is a renowned all-male a cappella group from Colgate University known for performing at high-profile events, including the national anthem at Super Bowl XIII.
  • D. Crest
    Crest is a well-known oral care brand, particularly recognized for its toothpastes and whitening products.
  • E. Crest
    Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pepsodent
Triple: [ULVR, associatedWithBrandPortfolio, Pepsodent]
Generated description
Pepsodent is a long-established toothpaste brand known for its focus on cavity protection and oral hygiene, marketed globally by major consumer goods companies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pepsodent
Target entity description: Pepsodent is a long-established toothpaste brand known for its focus on cavity protection and oral hygiene, marketed globally by major consumer goods companies.
  • A. Colgate
    Colgate is a small village in West Sussex, England, known for its rural character and proximity to Horsham.
  • B. Listerine
    Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
  • C. Colgate Thirteen
    Colgate Thirteen is a renowned all-male a cappella group from Colgate University known for performing at high-profile events, including the national anthem at Super Bowl XIII.
  • D. Crest
    Crest is a well-known oral care brand, particularly recognized for its toothpastes and whitening products.
  • E. Crest
    Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541ace208190a5149b6f18fa196d completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f16e87c8190b7e9f61561ae865a completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6412345ac8190826f4fecb8055fb5 completed May 2, 2026, 6:23 p.m.
NED2 Entity disambiguation (via description) batch_69f64231606481909b8dd9d878670a6c completed May 2, 2026, 6:28 p.m.
Created at: April 8, 2026, 9:56 p.m.